YouTube Search Assistant with ADK, MCP and Gemma 3
Build AI Agent using Google ADK , MCP and Gemma 3 model
Overview
What is YouTube Search Assistant?
The YouTube Search Assistant is an AI-powered tool that utilizes Google's Agent Development Kit (ADK), Model Context Protocol (MCP), and the Gemma 3 model to facilitate YouTube video searches through natural language queries.
How to use YouTube Search Assistant?
To use the YouTube Search Assistant, clone the repository, set up the environment, and run the agent either through a web-based UI or command line. You can then input your search queries to find relevant YouTube videos.
Key features of YouTube Search Assistant?
- Natural language video search capabilities
- Integration with Gemma 3 for enhanced language understanding
- Clean formatting of search results
- Built using Google's ADK for robust agent functionality
Use cases of YouTube Search Assistant?
- Finding educational videos on specific topics.
- Searching for tutorials on programming languages.
- Locating content related to recent events or trends.
FAQ from YouTube Search Assistant?
- Can I use the Assistant for any YouTube search?
Yes! You can search for any video on YouTube using natural language queries.
- Is there a cost to use the YouTube Search Assistant?
No, the tool is free to use as it is open-source.
- What are the requirements to run the Assistant?
You need Python 3.9+, Ollama installed with the Gemma 3 model, and a valid SERP API key for YouTube search.
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